





from __future__ import annotations

import math

def     snake_case							(UpperCamelCase			:     int							):




	'''simple docstring'''







	if 1 < number < 4:
		# 2 and 3 are primes
		return True
	elif number < 2 or number % 2 == 0 or number % 3 == 0:
		# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
		return False

	# All primes number are in format of 6k +/- 1
	for i in range(5			,    int(math.sqrt(_lowerCamelCase							) + 1							)			,    6							):
		if number % i == 0 or number % (i + 2) == 0:
			return False
	return True

def     snake_case							(UpperCamelCase			:     int							):




	'''simple docstring'''







	lowerCamelCase__										=			str(_lowerCamelCase							)
	lowerCamelCase__										=			[n]
	for i in range(1			,    len(_lowerCamelCase							)							):
		list_nums.append(int(str_num[i:]							)							)
		list_nums.append(int(str_num[:-i]							)							)
	return list_nums

def     snake_case							(UpperCamelCase			:     int							):




	'''simple docstring'''







	if len(str(_lowerCamelCase							)							) > 3:
		if not is_prime(int(str(_lowerCamelCase							)[-3:]							)							) or not is_prime(int(str(_lowerCamelCase							)[:3]							)							):
			return False
	return True

def     snake_case							(UpperCamelCase			:     int = 11							):




	'''simple docstring'''







	lowerCamelCase__										=			[]
	lowerCamelCase__										=			13
	while len(_lowerCamelCase							) != count:
		if validate(_lowerCamelCase							):
			lowerCamelCase__										=			list_truncated_nums(_lowerCamelCase							)
			if all(is_prime(_lowerCamelCase							) for i in list_nums							):
				list_truncated_primes.append(_lowerCamelCase							)
		num += 2
	return list_truncated_primes

def     snake_case							():




	'''simple docstring'''







	return sum(compute_truncated_primes(11							)							)


if __name__ == "__main__":
					print(f'''{sum(compute_truncated_primes(1_1)) = }''')


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowercase    :   List[str]						=			{
    'configuration_gpt_bigcode': ['GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTBigCodeConfig'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase    :   List[str]						=			[
		    'GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'GPTBigCodeForSequenceClassification',
		    'GPTBigCodeForTokenClassification',
		    'GPTBigCodeForCausalLM',
		    'GPTBigCodeModel',
		    'GPTBigCodePreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_gpt_bigcode import (
				    GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GPTBigCodeForCausalLM,
				    GPTBigCodeForSequenceClassification,
				    GPTBigCodeForTokenClassification,
				    GPTBigCodeModel,
				    GPTBigCodePreTrainedModel,
				)


else:
		import sys

		lowercase    :   Tuple						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)